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Abstract
In the current study determinants of cherry production and marketing in Pakistan are
estimated. For the study cross sectional data set of 60 cherry producers was collected
from Kalat and Ziarat districts of the Balochistan province. The analysis was carried
out by employing a number of different econometric models and techniques like poison
regression model was employed for estimating number of hectares under cherry orchard
while logit model was employed for farmers’ decision making like selling at farm
gate or taking the commodity to the market. Propensity score matching technique was
employed for estimating the cherry net returns and cherry yield. The empirical results
indicate that farmers selling cherry at market are obtaining higher net returns.